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A Support Vector Data Description Approach to NLOS Identification in UWB Positioning
Joint Authors
Zhao, Luwen
Li, Guangxia
Tian, Shiwei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Non-line-of-sight (NLOS) propagation is one of the most important challenges in radio positioning, and, in recent years, significant attention has been drawn to the identification and mitigation of NLOS signals.
This paper focuses on the identification of NLOS signals.
The authors consider the NLOS identification problem as a one-class classification problem and apply the support vector data description (SVDD), providing accurate data descriptions utilizing kernel techniques, to perform NLOS identification in ultrawide bandwidth (UWB) positioning.
Our work is based on the fact that some features extracted from the received signal waveforms, such as the kurtosis, the mean excess delay spread, and the root mean square delay spread, are different between line-of-sight (LOS) and NLOS signals.
Numerical simulations are performed to demonstrate the performance, using a dataset derived from a measurement campaign.
American Psychological Association (APA)
Tian, Shiwei& Zhao, Luwen& Li, Guangxia. 2014. A Support Vector Data Description Approach to NLOS Identification in UWB Positioning. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-511857
Modern Language Association (MLA)
Tian, Shiwei…[et al.]. A Support Vector Data Description Approach to NLOS Identification in UWB Positioning. Mathematical Problems in Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-511857
American Medical Association (AMA)
Tian, Shiwei& Zhao, Luwen& Li, Guangxia. A Support Vector Data Description Approach to NLOS Identification in UWB Positioning. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-511857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511857